TY - CHAP
T1 - Decision trees and CBR for the navigation system of a CNN-based autonomous robot
AU - Pazienza, Giovanni Egidio
AU - Golobardes-Ribé, Elisabet
AU - Vilasís-Cardona, Xavier
AU - Balsi, Marco
PY - 2007
Y1 - 2007
N2 - In this paper we present a navigation system based on decision trees and CBR (Case-Based reasoning) to guide an autonomous robot. The robot has only real-time visual feedback, and the image processing is performed by CNNs to take advantage of the parallel computation. We successfully tested the system on a SW simulator.
AB - In this paper we present a navigation system based on decision trees and CBR (Case-Based reasoning) to guide an autonomous robot. The robot has only real-time visual feedback, and the image processing is performed by CNNs to take advantage of the parallel computation. We successfully tested the system on a SW simulator.
UR - http://www.scopus.com/inward/record.url?scp=34547447048&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-37421-3_11
DO - 10.1007/978-3-540-37421-3_11
M3 - Chapter
AN - SCOPUS:34547447048
SN - 3540374191
SN - 9783540374190
T3 - Studies in Fuzziness and Soft Computing
SP - 181
EP - 201
BT - Hybrid Intelligent Systems
PB - Springer Verlag
ER -